Abstract: Systems for assisting a user in a process of decision-making or analysis involving a topic comprising a computer and one or more computer applications comprising: a module for displaying a screen set soliciting a set of input data, and inputting said set of input data, wherein at least some of the data is characterized with a value representing a degree of certainty regarding the data; and a module for displaying a screen or screen set showing a current recommendation or analysis where the degree of certainty regarding the input data is reflected in the recommendation, calculations, or output; wherein said module optionally provides information or links to modify those inputs which are determined to have one or more of: the highest importance, the greatest effect on the calculated certainty of the current recommendation or analysis, and the greatest effect on the calculated certainty of a particular calculated result.

Abstract: Systems for assisting a user in a process of decision-making or analysis involving a topic comprising a computer and one or more computer applications comprising: a module for displaying a screen set soliciting a set of input data, and inputting said set of input data, wherein at least some of the data is characterized with a value representing a degree of certainty regarding the data; and a module for displaying a screen or screen set showing a current recommendation or analysis where the degree of certainty regarding the input data is reflected in the recommendation, calculations, or output; wherein said module optionally provides information or links to modify those inputs which are determined to have one or more of: the highest importance, the greatest effect on the calculated certainty of the current recommendation or analysis, and the greatest effect on the calculated certainty of a particular calculated result.

Abstract: A system and method for generating recommendations of analyses of circumstances in business, accounting, science, medicine and other fields. An algorithm is generated using an interactive generation process based on decision tree type inquiries. The algorithm is translated into a computer language and code and loaded onto a computer, preferably on a network. A user inputs data concerning a particular topic, and the algorithm processes the data to generate and display a set of recommendations or analyses. The user inputs additional data which the system uses to refine the initial recommendations or analyses, and this process is repeated until arriving at a final set of recommendations or analyses. The organization and content of sets of display screens changes dynamically as data is input and processed.